Treating crude oil storage tank sludge by catalytic process and recovering valuable hydrocarbons

In order to realize functions of automatic monitoring, alarming and extinguishment on fire in crude oil storage tank, the paper came up with a fire detection model with multisensor, including selective module with fire feature combination, supervised training module and fire detection module. By regarding PNN as a classifier to carry out tests on effectiveness of the model, the conclusions that the model can reduce the influence of fire parameters’ fluctuation on detection results was drew. Moreover, an excellent fault-tolerant ability was possessed at the same time. Through some confirmatory experiments, The phenomenon was reached that two kinds of parameters in adoptive four parameters have no normal fire signal, but the model still can greatly distinguish from correct fire state.

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The Remaining Life Prediction and Internal Inspection Interval Analysis for Large-Scale Crude Oil Storage Tank

2010 8th International Pipeline Conference, Volume 3 ◽

10.1115/ipc2010-31104 ◽

2010 ◽

Cited By ~ 1

Author(s):

Jian Shuai ◽

Kejiang Han

Keyword(s):

Crude Oil ◽

Storage Tank ◽

Life Prediction ◽

Large Scale ◽

Extreme Value Distribution ◽

Bottom Plate ◽

Remaining Life ◽

Oil Storage ◽

Inspection Interval ◽

Oil Storage Tank

As an important production facility, storage tank plays a more and more important role in the storage and transportation of crude oil and chemical product. The remaining life prediction of storage tank is to forecast the thinning trend of plate thickness, and forecast remaining life on the premise that remaining strength of storage tank meets the tank operation and safety requirements. Maximum corrosion depths of tank bottom plate obey the maximum extreme value distribution. Based on maximum extreme value distribution and statistics of corrosion data, the calculation formula of the remaining life prediction for large-scale crude oil storage tank was obtained by formula derivation. Compared with API STD 653 and EEMUA 159, the inspection interval specified by China standard SY/T 5921 is relatively conservative. The remaining life of a certain crude oil storage tank (tank A) in china is determined by the remaining life of tank bottom plate. The remaining life of tank A at the reliability of 0.99, 0.999 and 0.9999 are 25 years, 20 years and 17 years, respectively. For the acceptable failure probability of 1×10−4, the inspection interval of tank A can be extended from required 5–7 years specified by China standard SY/T 5921 to 17 years. The remaining life of crude oil storage tank predicted by the method proposed in this paper can be used as an important reference in the determination of inspection interval and tank’s maintenance.

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CFD simulation of mixing process in a large crude oil storage tank with side-entry impellers

ITECKNE Innovación e Investigación en Ingeniería ◽

10.15332/iteckne.v12i1.818 ◽

2015 ◽

Vol 12 (1) ◽

Author(s):

Diana Carolina Hernández-Jaramillo ◽

César Nieto-Londoño ◽

Nayith Álvarez-Sarmiento ◽

Rigoberto Barrero ◽

Luz Ángela Novoa-Mantilla

Keyword(s):

Crude Oil ◽

Storage Tank ◽

Cfd Simulation ◽

Mixing Process ◽

Oil Storage ◽

Oil Storage Tank

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Methanogenic biodegradation of crude oil storage tank sludge enhances bio-corrosion of mild steel

Euro-Mediterranean Journal for Environmental Integration ◽

10.1007/s41207-018-0077-6 ◽

2018 ◽

Vol 3 (1) ◽

Author(s):

Okoro Chuma Conlette ◽

J. N. Nnaji Nnameka

Keyword(s):

Mild Steel ◽

Crude Oil ◽

Storage Tank ◽

Oil Storage ◽

Oil Storage Tank

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Quantitative risk analysis on an FSO crude oil storage tank

Malaysian Journal of Chemical Engineering and Technology (MJCET) ◽

10.24191/mjcet.v3i1.11074 ◽

2020 ◽

Vol 3 (1) ◽

pp. 29

Author(s):

Siti Rafidah Ab Rashid ◽

Adil Rahman Nor Azmi

Keyword(s):

Risk Analysis ◽

Crude Oil ◽

Deep Water ◽

Storage Tank ◽

Oil And Gas ◽

Fire Risk ◽

Fuel Oil ◽

Individual Risk ◽

Oil Storage ◽

Oil Storage Tank

The industry of oil and gas are blooming in a rapid rate as time goes by because of the massive use of fuel oil and natural gas in this age of time. However, as more fuel oil are produced the industry is moving away from onshore to offshore and towards the ultra-deep-water region, where vessel like FSOs are introduced. FSO are short for Floating Storage and Offloading which are vessels used in deep water operation. The FSO plays an important role in the business where a single disastrous incident will affect the industry and the company. The focus of the research will be on the FSO that holds million barrels of crude oil. In this work, fire risk analysis is used to assess the crude oil storage tank on a typical FSO as this is a relatively new mode in exploration and production (E&P) activity. By calculating the individual risk per annum (IRPA) and potential loss of life (PLL), methods are introduced to mitigate fire risk on FSOs. The results show that the level of failure is low and requires less action for the FSO crude oil storage tank to stay safe during operation in the offshore environment.

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Tank Wall Thermal Stress Analysis and Risk Prevention and Control of Crude Oil Storage Tank

International Journal of Heat and Technology ◽

10.18280/ijht.390224 ◽

2021 ◽

Vol 39 (2) ◽

pp. 541-549

Author(s):

Xuejian Zhao

Keyword(s):

Heat Transfer ◽

Thermal Stress ◽

Crude Oil ◽

Storage Tank ◽

Prevention And Control ◽

Risk Prevention ◽

Tank Wall ◽

Oil Storage ◽

Oil Storage Tank ◽

And Control

If the crude oil in storage tank is directly heated without considering its temperature distribution, several problems will occur, namely, the thermal expansion of crude oil, and the uneven thickness of the condensate layer, bringing difficulty to the safe management of crude oil storage and transport. However, few scholars have analyzed the temperature field distribution of crude oil storage tank (COST) under heating, or the internal force of COST under static force. Thus, this paper probes into the thermal stress of tank wall, and the risk prevention and control of COST. Firstly, the heat transfer properties of COST were analyzed, an energy balance model was constructed for COST, and several variables were selected to evaluate the heat transfer effect of the tank under different heating modes, including thermal design power, temperature rise rate, and heat energy utilization rate. Next, the cross-section of COST wall was selected for thermal stress analysis. Based on the extremes of circumferential and vertical thermal stresses, the weak parts of COST susceptible to risks like leakage were determined, and several measures and suggestions were presented for reducing the risks of crude oil storage and transport.

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